Free

Event Information

Share this event

Date and Time

Location

Location

Mudd Library, Small Classroom 2124

2233 Tech Drive

Evanston, IL 60208

Event description

Description

Graphical processing units (GPUs), which were once specialized for graphics applications, have evolved into an integral part of high performance computing (HPC). GPUs can provide significant acceleration (up to two orders of magnitude) over all-purpose central processing units (CPUs). CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on GPUs. With CUDA, developers can harness the power of GPUs and speed up computing applications across a wide range of domains from image processing to deep learning, numerical analytics to molecular modeling. In this workshop, the essential concepts of CUDA will be introduced through examples which will serve as an entry point for researchers who would like benefit from GPU acceleration. Some basic knowledge about C/C++ languages are preferred as most of the code examples will be in C.

Instructors: Alper Kinaci, Northwestern IT Research Computing Services; Yeguang Xue, PhD Candidate, Mechanical Engineering

Things you’ll learn in this workshop

  • Difference between GPU and CPU
  • Key concepts in CUDA, including: memory allocation, data communication between CPU and GPU, and launching kernels on GPU
  • Writing basic CUDA programs
  • Optimizing CUDA programs by efficient usage of GPU memory hierarchy

Prerequisites

  • Knowledge of C/C++ programming languages with the ability to read and modify code examples in C.
  • Familiarity with the concept of parallel processing.

Required Software

  • Laptop with a text editor for writing code and an SSH client

FAQs

Answers to frequently asked questions about the workshops can be found at https://workshops.rcs.northwestern.edu/faq/.

Northwestern IT Research Computing

Share with friends

Date and Time

Location

Mudd Library, Small Classroom 2124

2233 Tech Drive

Evanston, IL 60208

Save This Event

Event Saved